{"id":"W3010756283","doi":"10.5430/rwe.v11n1p171","title":"Potato Trading Based on Structure Conduct Performance (SCP) in the Centre of Vegetable Production at Central Java Indonesia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Agriculture and Agroindustry Studies","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Production (economics); Cash; Java; Margin (machine learning); Payment; Snowball sampling; Index (typography); Agricultural economics; Agricultural science; Commerce; Economics; Finance; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003703491,0.0001116668,0.0001779726,0.00003372071,0.000170402,0.00003186567,0.0002676914,0.00004983418,0.0001270042],"category_scores_gemma":[0.00003780756,0.00003794991,0.00003818038,0.001025971,0.0000817404,0.0001417797,0.00005079584,0.0004585857,0.000008913474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008734011,"about_ca_system_score_gemma":0.00001484087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001009465,"about_ca_topic_score_gemma":0.002087183,"domain_scores_codex":[0.998657,0.0001915205,0.0002075683,0.0002970736,0.0001980753,0.0004487176],"domain_scores_gemma":[0.9995441,0.0002442021,0.00005257214,0.00005307981,0.00003696423,0.00006905157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008240355,0.0001052967,0.9666684,0.00007164972,0.000009265799,0.000008674368,0.001099553,0.0008890786,0.0164586,0.0001373051,0.009594842,0.004874878],"study_design_scores_gemma":[0.0002499743,0.0001678313,0.9453949,0.00009350882,0.000002564692,0.000002153479,0.002244601,0.0009861275,0.01662671,0.00007004199,0.03404935,0.000112264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667333,0.00007728374,1.477505e-8,0.02752957,0.00003406965,0.0003967863,0.0000090555,0.000007784924,0.005212148],"genre_scores_gemma":[0.9991789,0.00001608793,0.000005969934,0.0002074887,0.0003110196,0.00001291247,0.00002469268,7.928729e-7,0.0002421033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03244564,"threshold_uncertainty_score":0.1992352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09935623860831937,"score_gpt":0.272884232545723,"score_spread":0.1735279939374036,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}